Pith Number
pith:ERGNSJLJ
pith:2017:ERGNSJLJUGWJ2J7TYOOIBBZNKR
not attested
not anchored
not stored
refs pending
Sea Level Anomaly Prediction using Recurrent Neural Networks
arxiv:1710.07099 v1 · 2017-10-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ERGNSJLJUGWJ2J7TYOOIBBZNKR}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T00:32:27.009588Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
244cd92569a1ac9d27f3c39c80872d54762a89f30bdf60fb785c1c53e20d1cf3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ERGNSJLJUGWJ2J7TYOOIBBZNKR \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 244cd92569a1ac9d27f3c39c80872d54762a89f30bdf60fb785c1c53e20d1cf3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e636f567d8f2d8f12b89b81b9e425f25df3d16b49a8da849a2e1d420726aa762",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-10-19T11:43:34Z",
"title_canon_sha256": "e751f438ea34db07c40c5ec4a421cba1b784092c78495af59de2ee719ee8a959"
},
"schema_version": "1.0",
"source": {
"id": "1710.07099",
"kind": "arxiv",
"version": 1
}
}